Groq

GroqCloud is a developer inference platform powered by Groq's LPU technology. Its OpenAI-compatible API serves language, vision, speech-to-text, image, and other model workloads with low-latency inference, structured outputs, tool use, and configurable service tiers. Developers can manage projects, keys, usage, rate limits, and spend from the Groq Console, while enterprise customers can request higher capacity and governed deployments.

✨ Key Features

• OpenAI-compatible inference API — Send chat-completion requests through Groq's API or compatible SDKs using a Groq model and the documented endpoint.
• Model catalog — Choose supported open and proprietary models for text, reasoning, coding, vision, speech recognition, and compound workflows; availability changes as models are added or retired.
• Low-latency LPU inference — Run interactive applications that need fast token generation, subject to the selected model and account rate limits.
• Structured outputs and tool use — Use structured responses, function calling, citations, and server-side tools where supported to connect model output to an application.
• Speech-to-text — Process audio with supported Whisper models and account limits measured in audio seconds per hour/day.
• Service tiers — Select on-demand, flex, auto, or enterprise Performance behavior to balance predictable latency, throughput, and capacity.
• Batch processing — Submit asynchronous JSONL workloads for large datasets, evaluations, or bulk generation; the official docs describe a 50% discount versus synchronous APIs.
• Projects and governance — Isolate applications and environments with project-level API keys, permissions, usage data, logs, and configurable model rate limits.
• Usage and spend controls — Track model usage and costs, set organization-wide monthly spend limits, and receive alerts before a budget is reached.

💳 Pricing

• Free plan — $0 usage tier — The official rate-limit documentation lists a Free Plan with base per-model request/token/audio limits for experimentation; exact limits vary by model and account.
• Developer plan — pay-as-you-go — Upgrading requires a payment method and bills tokens at month end or progressive thresholds. It adds higher limits, chat support, Flex processing, Batch processing, and spend limits; model prices vary.
• Enterprise — custom pricing — Higher limits and enterprise support are available for selected workloads, with custom capacity and commercial terms.
• Performance tier — provisioned capacity, contact sales — Enterprise-only prioritized capacity for consistent low latency, with a documented 99.9% availability SLA and 99% latency guarantee under the enterprise agreement.
• Model and media rates — The reviewed pricing docs list model-specific token prices and separate rates for speech, image/video, tool calls, and batch processing; for example, the current docs list Whisper and model-specific prices rather than one universal API rate.

Pricing note — Groq charges by usage, not a fixed per-seat license. Free/Developer rate limits are organization-level and model-specific; token prices, available models, media rates, and limits can change. Confirm the current model pricing, rate-limit tier, data handling, support, and enterprise agreement before production use.

⚖️ Alternatives Compared

🎯 Use Cases

• Interactive AI applications — Add fast chat, reasoning, or coding responses to a user-facing application.
• Agent tool calls — Connect model output to functions, APIs, retrieval systems, or server-side tools with structured responses.
• Speech transcription — Convert supported audio inputs into text for search, captions, notes, or downstream analysis.
• Production latency control — Use on-demand, Flex, auto, or enterprise Performance tiers according to throughput and latency requirements.
• Multi-environment development — Separate development, staging, and production keys, limits, logs, and usage through Groq projects.